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来源类型 | Publication |
Unconscious Bias in the Classroom: Evidence and Opportunities | |
Thomas Dee; Seth Gershenson | |
发表日期 | 2017 |
出版者 | Google's Computer Science Education Research |
出版年 | 2017 |
语种 | 英语 |
摘要 | The underrepresentation of women and racial and ethnic minorities in computer science (CS) and other fields of science, technology, engineering, and math (STEM) is a serious impediment to technological innovation as well as an affront to fundamental notions of fairness and equity. These gaps emerge in the early grades and tend to persist, if not widen, throughout the secondary and postsecondary years. The unconscious biases (UB) of teachers, school administrators, and fellow students may contribute meaningfully to the persistence of these gaps. Fortunately, a nascent literature on targeted interventions that directly address UB suggests there may be compelling opportunities to promote broader engagement in CS and STEM education and employment. The fields of neuroscience, social psychology, economics, and sociology articulate the many possible origins of UB and the ways in which UB can harm stereotyped groups, particularly in educational settings. This interdisciplinary literature yields two troubling, important insights:
These insights provide specific guidance for mitigating the negative consequences of UB via interventions that disrupt the channels through which UB influences individuals and that highlight the insidiousness of UB, respectively. In particular, the following design insights should be considered when addressing UB systematically:
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主题 | Technological Innovations in Education |
子主题 | School Effectiveness ; Student Success |
URL | https://cepa.stanford.edu/content/unconscious-bias-classroom-evidence-and-opportunities |
来源智库 | Center for Education Policy Analysis (United States) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/491807 |
推荐引用方式 GB/T 7714 | Thomas Dee,Seth Gershenson. Unconscious Bias in the Classroom: Evidence and Opportunities. 2017. |
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